TY - JOUR
T1 - Highlights of the 16th annual scientific meeting of the society of cardiovascular computed tomography
AU - Williams, Michelle C.
AU - Ferencik, Maros
AU - Branch, Kelley R.
AU - Nieman, Koen
AU - Ghoshhajra, Brian B.
AU - Choi, Andrew D.
AU - Nicol, Edward D.
AU - Williamson, Eric
N1 - Funding Information:
Dr. Ghoshhajra reports grants from the NIH and Siemens Medical Solutions, USA, not related to this work.
Funding Information:
Dr. Nieman reports grants from the NIH, unrestricted institutional research support from Siemens Healthcare, Bayer, HeartFlow Inc., and consulting for Siemens Medical Solutions USA, not related to this work.
Funding Information:
MCW ( FS/ICRF/20/26,002 ) is supported by the British Heart Foundation .
Funding Information:
Dr. Branch reports grants from the NIH, Bayer, Eli Lilly, Sanofi and consulting fees from Bayer, Janssen, Sanofi, Kestra, Sana, and Hanmi. None are related to this work.
Publisher Copyright:
© 2021 Society of Cardiovascular Computed Tomography
PY - 2021/11/1
Y1 - 2021/11/1
N2 - The 16th Society of Cardiovascular Computed Tomography (SCCT) annual scientific meeting welcomed 781 digital attendees from 55 countries. The program included 27 sessions across three simultaneously streaming channels, 11 exhibitors, 153 poster presentations, and 32 hours of on demand videos. The main themes of the meeting included coronary artery disease, valvular heart disease, structural heart disease, and advanced analytics including machine learning. This article summaries the main themes of the meeting and some of the key presentations, which will shape the future of cardiovascular computed tomography in clinical practice.
AB - The 16th Society of Cardiovascular Computed Tomography (SCCT) annual scientific meeting welcomed 781 digital attendees from 55 countries. The program included 27 sessions across three simultaneously streaming channels, 11 exhibitors, 153 poster presentations, and 32 hours of on demand videos. The main themes of the meeting included coronary artery disease, valvular heart disease, structural heart disease, and advanced analytics including machine learning. This article summaries the main themes of the meeting and some of the key presentations, which will shape the future of cardiovascular computed tomography in clinical practice.
KW - COVID-19
KW - Cardiovascular computed tomography
KW - Coronary artery disease
KW - SCCT
KW - Structural heart disease
UR - http://www.scopus.com/inward/record.url?scp=85118183738&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85118183738&partnerID=8YFLogxK
U2 - 10.1016/j.jcct.2021.10.002
DO - 10.1016/j.jcct.2021.10.002
M3 - Article
C2 - 34688579
AN - SCOPUS:85118183738
SN - 1934-5925
VL - 15
SP - 506
EP - 512
JO - Journal of Cardiovascular Computed Tomography
JF - Journal of Cardiovascular Computed Tomography
IS - 6
ER -